Evidence map›Paper›PMID 33214174›Full record

ArticleBMJ global health2020

Floriano Amimo, Ben Lambert, Anthony Magit, Jahit Sacarlal, Masahiro Hashizume, Kenji Shibuya

Abstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  8. Identification of an Orally Efficacious Imidazo[4,5-Journal of medicinal chemistry · 2026
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  9. Prevalence ofPathogens (Basel, Switzerland) · 2026
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  12. JAC-antimicrobial resistance · 2026
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  13. Emergence of chloroquine-sensitiveEmerging microbes & infections · 2025
    Article
  14. Article
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  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Floriano AmimoDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan florianoamimo@gmail.com.ORCID 0000-0003-1460-9522
Ben LambertMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Anthony MagitHuman Research Protection Program, University of California San Diego School of Medicine, University of California System, San Diego, California, USA.
Jahit SacarlalFaculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique.
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Kenji ShibuyaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe rising burden of drug resistance is a major challenge to the global fight against malaria. We estimated national

methodsWe assembled molecular, clinical and endemicity data covering malaria-endemic African countries up to December 2018. Subsequently, we reconstructed georeferenced patient data, using pfdhps540E and pfdhps581G to measure mid-level and high-level SP resistance. Gaussian process regression was applied to model spatiotemporal standardised prevalence.

resultsIn eastern Africa, mid-level SP resistance increased by 64.0% (95% uncertainty interval, 30.7%-69.8%) in Tanzania, 55.4% (31.3%-65.2%) in Sudan, 45.7% (16.8%-54.3%) in Mozambique, 29.7% (10.0%-45.2%) in Kenya and 8.7% (1.4%-36.8%) in Malawi from 2000 to 2010. This was followed by a steady decline of 76.0% (39.6%-92.6%) in Sudan, 65.7% (25.5%-85.6%) in Kenya and 17.4% (2.6%-37.5%) in Tanzania from 2010 to 2020. In central Africa, the levels increased by 28.9% (7.2%-62.5%) in Equatorial Guinea and 85.3% (54.0%-95.9%) in the Congo from 2000 to 2020, while in the other countries remained largely unchanged. In western Africa, the levels have remained low from 2000 to 2020, except for Nigeria, with a reduction of 14.4% (0.7%-67.5%) and Mali, with an increase of 7.0% (0.8%-25.6%). High-level SP resistance increased by 5.5% (1.0%-20.0%) in Malawi, 4.7% (0.5%-25.4%) in Kenya and 2.0% (0.1%-39.2%) in Tanzania, from 2000 to 2020.

conclusionUnder the WHO protocols, SP is no longer effective for intermittent preventive treatment in pregnancy and infancy in most of eastern Africa and parts of central Africa. Strengthening health systems capacity to monitor drug resistance at subnational levels across the endemicity spectrum is critical to achieve the global target to end the epidemic.

Indexed as

AntimalarialsMalaria, FalciparumDrug CombinationsFemaleHumansKenyaMaliNigeriaPlasmodium falciparumPregnancyPyrimethamineSulfadoxineAntimalarialsDrug Combinationsfanasil, pyrimethamine drug combinationPyrimethamineSulfadoxinechild healthepidemiologyhealth policymalariamaternal health

Identifiers

PMID33214174
PMCPMC7678238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.